Federico Ivaldi

1.0k citations
43 papers · 695 · h-index 15

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Neurology top 10%
    • Long-Term Effects of COVID-19

Papers in

    • Immune Cell Function and Interaction 11
    • T-cell and B-cell Immunology 7
    • Immunotherapy and Immune Responses 6
    • Cytomegalovirus and herpesvirus research 14
    • Herpesvirus Infections and Treatments 8

Federico Ivaldi

41 papers receiving 687 citations

Peers

Federico Ivaldi
Comparison fields: 5 of 85
  • Immunology 297
  • Neurology 128
  • Physiology 37
  • Pathology and Forensic Medicine 120
  • Neurology 54
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Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by Federico Ivaldi

Since Specialization
Citations

This map shows the geographic impact of Federico Ivaldi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Federico Ivaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Ivaldi more than expected).

Fields of papers citing papers by Federico Ivaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Federico Ivaldi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Federico Ivaldi. The network helps show where Federico Ivaldi may publish in the future.

Co-authors

The 25 scholars most cited alongside Federico Ivaldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Federico Ivaldi Line = papers co-authored together Federico Ivaldi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201689
2 202257
3 201053
4 201346
5 202040
6 201638
7 201634
8 201727
9 202126
10 200423
11 201222
12 200820
13 202016
14 200716
15 200816
16 200614
17 202114
18 202214
19 200612
20 202111

About Federico Ivaldi

Federico Ivaldi is a scholar working on Immunology, Epidemiology, Pathology and Forensic Medicine, Infectious Diseases and Neurology, having authored 43 papers that have together received 695 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (14 papers), Immune Cell Function and Interaction (11 papers), Herpesvirus Infections and Treatments (8 papers), T-cell and B-cell Immunology (7 papers), Multiple Sclerosis Research Studies (7 papers), Immunotherapy and Immune Responses (6 papers), HIV Research and Treatment (4 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Immunology (297 citations), Neurology (128 citations), Physiology (37 citations), Pathology and Forensic Medicine (120 citations) and Neurology (54 citations). Federico Ivaldi has collaborated with scholars based in Italy, United States and Iran. Frequent co-authors include Giuseppina Li Pira, Fabrizio Manca, Antonio Uccelli, Nicole Kerlero de Rosbo, Gianluigi Mancardi, Alice Laroni, Paolo Moretti, Elda Righi, Alessandro Moretta and Howard L. Weiner. Their work appears in journals such as Journal of Immunological Methods, Immunology Letters, Transfusion, Clinical and Vaccine Immunology and The Journal of Immunology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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